code: def test_eject_prefix(self):
      model = self.get_model()
      model.eval()
      model.add_adapter("test_prefix", config="prefix_tuning")
      model.to(torch_device)
  
      input_data = self.get_input_samples(config=model.config)
  
      # user reparamterized prefix
      model.set_active_adapters(["test_prefix"])
      output_1 = model(**input_data)
  
      # eject prefix
      model.eject_prefix_tuning("test_prefix")
      model.to(torch_device)
      model.eval()
      output_2 = model(**input_data)
  
      # check forward pass
      self.assertEqual(len(output_1), len(output_2))
      self.assertTrue(
          torch.allclose(output_1[0], output_2[0], atol=1e-4)
      )
  
file_path: adapters/tests/methods/test_prefix_tuning.py
imports: import torch
  from adapters import ADAPTER_MODEL_MAPPING, AutoAdapterModel, PrefixTuningConfig
  from transformers import CLIPConfig
  from transformers.testing_utils import require_torch, torch_device
  from .base import AdapterMethodBaseTestMixin
label_desc: Use image node_id 10 for calling the PrefixTuningTestMixin obj's underlying member method code with example usage: obj.test_eject_prefix() without return types